![]() Combined with Philips’ AI-based MR imaging techniques, the solution aims to provide clinicians with the speed and precision needed to deal with the growing number of patients in need of MR exams to help enhance diagnostic confidence, personalized treatment and better outcomes. Philips and Quibim will now work on an integrated solution including Quibim’s artificial intelligence (AI) based QP-Prostate software, to automate real-time prostate gland segmentation in MR images, generating meaningful quantitative insights, and standardize MR prostate exam reporting. Philips is already leveraging AI-powered technology like MR SmartSpeed image reconstruction software, which helps build clinical confidence with up to 65% higher resolution and outstanding image quality. By reducing the number of unnecessary biopsies performed and enabling better-targeted therapy for prostate cancer that does need treatment, MR exams can potentially result in overall cost savings and faster, more accurate diagnoses for patients. While MR exams are generally more expensive and time-consuming than PSA tests, recent research indicates MR may provide value as a triaging tool to guide biopsy decisions, as well as a valuable diagnostic tool to help determine treatment planning and personalized therapy independent of PSA testing. ![]() As a result, patients undergo painful biopsies that turn out to be negative, resulting in significant anxiety as they wait for their biopsy results complicated by an avoidable pathology workload. However, PSA screening tests also have poor specificity to clinically significant cancer, which can lead to many false positives and overdiagnosis. Early detection currently relies largely on a prostate-specific antigen (PSA) screening blood test that may help detect prostate cancer early, especially for slow-growing cancers that never spread beyond the prostate gland. ![]() will be diagnosed with prostate cancer at some point in their lifetime. ![]() For example, approximately one in eight men in the U.S. Prostate cancer has a significant impact globally. ![]()
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